CN112381668B - Information extraction method for power grid faults - Google Patents
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Abstract
The invention discloses an information extraction method for power grid faults, which belongs to the technical field of power transmission guarantee, and comprises the steps of firstly processing data into a set in a standard format under the action of auxiliary service through a multipoint distributed data processing mode, comparing the data with a historical fault database when the data are not retrieved, comparing values close to the values in the historical fault database, summarizing unidentified data after the unidentified data are processed through a manual processing mode, and then inputting the processed unidentified data into the historical fault database or a historical data log.
Description
Technical Field
The invention belongs to the technical field of power transmission guarantee, and particularly relates to an information extraction method for a power grid fault.
Background
The faults of the power grid caused by power transmission and transformation equipment include external damage of a power transmission line, such as crane tower collision or line collision, short circuit caused by lightning stroke, short circuit caused by line drop of branches, kites and the like, pollution flashover caused by severe weather and the like, which can cause line tripping or accidents, equipment damage and the like, equipment damage or protection tripping caused by overhigh temperature, reduced insulating property, overweight load, overproof electrical parameters or mechanical reasons and the like of the power grid equipment can further cause power grid accidents. The method is used for the faults that the direct short circuit between cable cores or the contact resistance of a short circuit point is smaller than 1 omega, the judgment error is generally not larger than 3m, for the faults that the contact resistance of the fault point is larger than 1 omega, a high-voltage burn-through method can be adopted to reduce the resistance to be lower than 1 omega, then a data operation and acquisition method for the fault point and the like can be obtained through measurement according to the method, however, the existing data has a large defect in the processing process after the data is acquired, most of the existing methods still adopt huge data operation for extracting fault data from the mass data of a power grid, so that the fault data can be compared one by one, even under the conditions that the fault data cannot be processed when unknown data occurs in the data extraction process, and the various faults and the data information thereof cannot be gradually improved along with the technical superposition of comparison operation.
Disclosure of Invention
Technical problem to be solved
In order to overcome the defects in the prior art, the invention provides an information extraction method for power grid faults, and solves the problems that in the existing power grid data extraction process, the real-time data of a power grid is extremely huge, the operation processing speed is low, the operation cost of big data is high, and meanwhile, the power grid fault information cannot be gradually improved in the data comparison process.
(II) technical scheme
In order to achieve the purpose, the invention provides the following technical scheme: an information extraction method for grid faults, comprising the following steps:
a: firstly, a worker generates a standard numerical table through an SQL database according to the specific power grid transmission specification length and each basic rated numerical value of the power grid to be input as a basic numerical reference, then, the standard numerical tables of different branch power grids are distinguished, and then, a main server is set as a first priority standard reference.
b: when the device is used, data of each direct current circuit is collected through a current transformer and the like, then data of voltage, current, phase, impedance, waveforms in various forms and the like collected by different power grids are collected, then each data is collected and recorded into a corresponding auxiliary server, the auxiliary server classifies and screens the voltage, the current, the phase, the impedance of different branches and the waveforms in various forms and the like, and digital sets with different types and numerical value classification and unification are formed.
c: then the auxiliary server fuzzifies the data in the digital set, then the subset after the fuzzification is summarized into the set of the same kind of data, the major point in the set directly displays the large deviation value, then a plurality of auxiliary servers compress the processed data and send the compressed data to the main server, the main server decompresses the data and then compares the data sets of a plurality of different branches with the initialized standard value tables respectively, then the internal difference value is compared, and after the difference value is extracted, the historical data log is read and compared with the historical fault database in sequence.
d: and when the data are successfully matched, if the data are normal data displayed in the historical data, storing the data set into a historical data log, reading a historical fault database for comparison when the internal individual abnormal data have no matching item, reading out the historical fault information corresponding to the abnormal data after the data are successfully compared and matched, and screening out the abnormal fault information.
e: and when the historical data log and the historical fault database have no matched numerical value, storing the data in an abnormal database to be processed, manually checking the data, exploring the field, inputting an abnormal reason after the abnormal data to be processed is processed, storing the data in the historical data log if the data is normal, and storing the data in the historical fault database if the data is abnormal.
As a further scheme of the invention: the specific input format of the initialized standard numerical value table is a read-only mode after being input, and the internal data of the initialized standard numerical value table can be set through the main server by the administrator management terminal.
As a further scheme of the invention: the fuzzification processing method is to compare frequently-occurring items in a history log, and after one data is compared, a plurality of approximate values of the same type are synchronously summarized into a small subset which is specifically displayed as x (x 2, x3.. Xn), wherein x1 is a standard value, and x2 and the like are approximate values in a standard error range of the standard value.
As a further scheme of the invention: the specific display method of the set is Y { Y1, Y2, yx (x 2, x3.. Xn) Yn }, wherein Y is a category of numerical values, Y1 to Yn are internal specific number of same-class numerical values, yx is a subset of the data, and the inside is an approximate value containing a section of data.
As a further scheme of the invention: the power grid fault data monitoring comprises a current transformer, an electric bridge method and the like, fault detection and data collection are carried out in a mode that asymmetric three-phase voltage is generated in a secondary winding in a mode that the current transformer detects zero-sequence voltage on a first side to generate zero-sequence magnetic flux and the like, the electric bridge method measures the resistance value of a cable conductor through a double-arm electric bridge, and then a fault point can be calculated according to the specific direct proportional relation between the power transmission length and the resistance.
(III) advantageous effects
Compared with the prior art, the invention has the beneficial effects that:
1. the method for extracting the information of the power grid faults comprises the steps of firstly processing data into a set in a standard format under the action of auxiliary service in a multipoint distributed data processing mode, synchronously packaging the real data to a main server, then refining and further comparing the data by the main server, comparing fuzzified subset data simply, then comparing data with a standard numerical value in a key mode, comparing the numerical value with a large difference in a mode that the historical data is marked to be normally operated and then recording the data into a historical data log, comparing the data with the historical fault database when the data is not retrieved, summarizing the numerical value close to the value in the historical fault database in a mode that the value is compared with the value in the historical fault database to identify abnormal data, then processing the unidentified data in a manual processing mode and then recording the processed data into the historical fault database or the historical data log, facilitating subsequent data comparison and classification by a data preprocessing mode, being more convenient to compare and operate compared with the traditional large data, extracting the fault data one by one, being more convenient to use in a mode that the unidentified data are processed and recorded in a mode that the data are gradually improved, and the data are gradually used for a long time, and the stability is gradually improved.
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FIG. 1 is a schematic flow diagram of the present invention;
FIG. 2 is a diagram of a processing architecture according to the present invention.
Detailed Description
The technical solution of the present patent will be described in further detail with reference to the following embodiments.
As shown in fig. 1-2, the present invention provides a technical solution, a method for extracting information of grid faults, which includes the following steps:
a: firstly, a worker generates a standard numerical table through an SQL database according to the specific power grid transmission specification length and each basic rated numerical value of the power grid, the standard numerical table is input as a basic numerical reference, then the standard numerical tables of different branch power grids are distinguished, and then a main server is set as a first priority standard reference.
b: when the device is used, data of each direct current circuit is collected through a current transformer and the like, then data of voltage, current, phase, impedance, waveforms in various forms and the like collected by different power grids are collected, then each data is collected and recorded into a corresponding auxiliary server, the auxiliary server classifies and screens the voltage, the current, the phase, the impedance of different branches and the waveforms in various forms and the like, and digital sets with different types and numerical value classification and unification are formed.
c: then the auxiliary servers fuzzify the data in the digital set, the subset after fuzzification is summarized into the set of the same kind of data, the large deviation value is displayed in the set directly, then the plurality of auxiliary servers compress the processed data and send the compressed data to the main server, the main server decompresses the data and then compares the data sets of a plurality of different branches with the initialized standard value tables respectively and correspondingly, then the internal difference value is compared, and after the difference value is extracted, the historical data logs are read and compared with the historical fault database in sequence.
d: and when the data are successfully matched, if the data are normal data displayed in the historical data, storing the data set into a historical data log, reading a historical fault database for comparison when the internal individual abnormal data have no matching item, reading out the historical fault information corresponding to the abnormal data after the data are successfully compared and matched, and screening out the abnormal fault information.
e: when the historical data log and the historical fault database have no matched numerical value, the data are stored in an abnormal database to be processed for storage, manual inspection and field exploration, after the abnormal data to be processed are processed, the abnormal reason is input, if the data are normal, the data are stored in the historical data log, and if the data are abnormal, the data are stored in the historical fault database.
The specific input format of the initialized standard numerical table is a read-only mode after being input, internal data of the initialized standard numerical table can be set through a main server through an administrator management end, the fuzzification processing specific processing mode is that frequently appearing items in a historical log are compared, after one data is compared, a plurality of approximate values of the same type are synchronously summarized into a small subset, the small subset is specifically displayed as x (x 2, x3.. Xn), wherein x1 is a standard value, x2 and the like are approximate values in a standard error range, the set specific display method is Y { Y1, Y2, yx (x 2, x3.. Xn) Yn }, Y is a type of numerical values, Y1 to Yn are the same type numerical values of the specific internal quantity, yx is a subset of the type of data and the internal is an approximate value containing a section of data, grid fault data monitoring comprises a current transformer, an electric bridge method and the like, fault detection and collection of the three-phase voltage data are carried out in a mode that the current transformer detects through the first-side voltage and generates asymmetric zero-sequence magnetic flux and the like, the collection of the three-phase voltage is carried out through a bridge method, and the resistance value of the electric cable is calculated according to the specific double-arm resistance ratio of the power transmission line, and the resistance of the electric bridge method, and the fault proportion of the collection of the electric cable can be calculated according to the fault detection.
Although the preferred embodiments of the present invention have been described in detail, the present invention is not limited to the above embodiments, and various changes can be made without departing from the spirit of the present invention within the knowledge of those skilled in the art.
Claims (5)
1. An information extraction method for grid faults, comprising the steps of:
a: firstly, a worker generates a standard numerical table through an SQL database according to a specific power grid transmission specification length and each basic rated numerical value of the power grid transmission specification length to be input as a basic numerical reference, then, the standard numerical tables of different branch power grids are distinguished, and then, a main server is set as a first priority standard reference;
b: when the device is used, data of each direct current circuit is collected through a current transformer and the like, then data of voltage, current, phase, impedance, waveforms in various forms and the like collected by different power grids are collected, then each data is collected and uniformly recorded into a corresponding auxiliary server, and the auxiliary server classifies and screens various voltage, current, phase, impedance, waveforms in various forms and the like of different branches to form digital sets with different types and numerical value classification uniformity;
c: then the auxiliary server fuzzifies the data in the digital set, then the subset after the fuzzification is summarized into a set of the same kind of data, a large deviation numerical value is displayed in the set in a key mode directly, then a plurality of auxiliary servers compress the processed data and send the compressed data to the main server, the main server decompresses the data and then compares the data sets of a plurality of different branches of the data sets with the initialized standard numerical value tables respectively and correspondingly, then the internal difference numerical value is compared, and after the difference numerical value is extracted, the data sets are sequentially compared with the historical fault database by reading a historical data log;
d: when the data are successfully matched, if the data are normal data displayed in historical data, the data are collected and stored in a historical data log, if the internal individual abnormal data have no matching item, a historical fault database is read for comparison, and after the data are successfully compared and matched, historical fault information corresponding to the abnormal data is read out, and then abnormal fault information is screened out;
e: and when the historical data log and the historical fault database have no matched numerical value, storing the data in an abnormal database to be processed, manually checking the data, exploring the field, inputting an abnormal reason after the abnormal data to be processed is processed, storing the data in the historical data log if the data is normal, and storing the data in the historical fault database if the data is abnormal.
2. The information extraction method for the grid fault according to claim 1, wherein: after the initialization standard numerical value table is input, the specific input format is a read-only mode, and the internal data of the initialization standard numerical value table can be set through the main server through the administrator management terminal.
3. The information extraction method for the grid fault according to claim 1, wherein: the fuzzification processing method is to compare frequently-occurring items in the history log, and after one data is compared, a plurality of approximate values of the same type are synchronously summarized into a small subset which is specifically displayed as x (x 2, x3.. Xn), wherein x1 is a standard value, and x2 and the like are approximate values within a standard error range.
4. An information extraction method for grid faults according to claim 3, wherein: the specific display method of the set is Y { Y1, Y2, yx (x 2, x3.. Xn) Yn }, where Y is a category of values, Y1 to Yn are specific internal quantities of like values, yx is a subset of the data, and the inside is an approximation containing a piece of data.
5. The information extraction method for the grid fault according to claim 1, wherein: the power grid fault data monitoring comprises a current transformer, an electric bridge method and the like, fault detection and data collection are carried out in a mode that asymmetric three-phase voltage is generated in a secondary winding in a mode that the current transformer detects zero-sequence voltage on a first side to generate zero-sequence magnetic flux and the like, the electric bridge method measures the resistance value of a cable conductor through a double-arm electric bridge, and then a fault point can be calculated according to the specific direct proportional relation between the power transmission length and the resistance.
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